{"id":"W2037678461","doi":"10.1503/cmaj.109-4355","title":"Family docs: the power of numbers","year":2012,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Power (physics); Primary care; Health care; Public relations; Medicine; Computer science; Political science; Family medicine; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02430583,0.0005967657,0.000856353,0.002103089,0.01170869,0.01326003,0.001689647,0.004124848,0.05124089],"category_scores_gemma":[0.09616111,0.0005479805,0.0004191182,0.001736899,0.03132796,0.01699594,0.0073394,0.008184294,0.005148472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00703667,"about_ca_system_score_gemma":0.009264524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02341231,"about_ca_topic_score_gemma":0.02783493,"domain_scores_codex":[0.9847845,0.009422444,0.0003802133,0.001348557,0.003052777,0.001011551],"domain_scores_gemma":[0.923637,0.0547639,0.002216871,0.004991318,0.006596662,0.007794186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006108212,0.00002370095,0.001148228,0.0000857215,0.00001181334,0.00008897403,0.006044779,0.0001568305,0.00003691212,0.602287,0.323507,0.06654811],"study_design_scores_gemma":[0.00003322545,0.00002578909,0.0005910694,0.000344434,0.000007660585,0.00009279803,0.004065006,0.0001704839,0.00006820275,0.137461,0.8571096,0.00003058823],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.005579336,0.00918933,0.007575105,0.5593852,0.01662747,0.00004753637,0.0002075646,0.0002431796,0.4011453],"genre_scores_gemma":[0.4657842,0.01324341,0.01242387,0.1409944,0.02196993,0.0004521909,0.0002048398,0.0008871281,0.3440399],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05124089,"threshold_uncertainty_score":0.1714178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02543592440035539,"score_gpt":0.3724566586664753,"score_spread":0.3470207342661199,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}